Evidence map›Paper›PMID 26849527›Full record

ArticleAlimentary pharmacology & therapeutics2016

Clostridium difficile associated risk of death score (CARDS): a novel severity score to predict mortality among hospitalised patients with C. difficile infection.

Z Kassam, C Cribb Fabersunne, M B Smith, E J Alm, G G Kaplan, G C Nguyen, A N Ananthakrishnan

Abstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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35citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Diabetes Mellitus and the Risk and Outcomes ofInfection and drug resistance · 2025
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  4. Retrospective Analysis ofJournal of clinical medicine · 2024
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  5. Review
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  7. Open forum infectious diseases · 2023
    Article
  8. Article
  9. Article
  10. External Validation and Comparison of Clostridioides difficile Severity Scoring Systems.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Risk Factors of SevereFrontiers in microbiology · 2022
    Article
  15. Prediction of in-hospital mortality ofBMJ open gastroenterology · 2021
    Article
  16. Review
  17. Assessment of Kidney Injury as a Severity Criteria forOpen forum infectious diseases · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Z KassamMassachusetts Institute of Technology, Cambridge, MA, USA.
C Cribb FabersunneHarvard Medical School, Boston, MA, USA.
M B SmithMassachusetts Institute of Technology, Cambridge, MA, USA.
E J AlmMassachusetts Institute of Technology, Cambridge, MA, USA.
G G KaplanUniversity of Calgary, Calgary, AB, Canada.
G C NguyenMount Sinai Hospital Centre for Inflammatory Bowel Disease, University of Toronto, Toronto, ON, Canada.
A N AnanthakrishnanHarvard Medical School, Boston, MA, USA.

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
Genetic predictors of anti-TNF treatment response and infections in IBDK23DK097142 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ANANTHAKRISHNAN, ASHWIN N · 2012 to 2016
$846k
NIDDK NIH HHS K23 DK097142NIDDK NIH HHS P30 DK043351
6 · The paper itself

Abstract

backgroundClostridium difficile infection (CDI) is a public health threat and associated with significant mortality. However, there is a paucity of objectively derived CDI severity scoring systems to predict mortality.

aimTo develop a novel CDI risk score to predict mortality entitled: Clostridium difficile associated risk of death score (CARDS).

methodsWe obtained data from the United States 2011 Nationwide Inpatient Sample (NIS) database. All CDI-associated hospitalisations were identified using discharge codes (ICD-9-CM, 008.45). Multivariate logistic regression was utilised to identify independent predictors of mortality. Clostridium difficile associated risk of death score was calculated by assigning a numeric weight to each parameter based on their odds ratio in the final logistic model. Predictive properties of model discrimination were assessed using the c-statistic and validated in an independent sample using the 2010 NIS database.

resultsWe identified 77 776 hospitalisations, yielding an estimate of 374 747 cases with an associated diagnosis of CDI in the US, 8% of whom died in the hospital. The eight severity score predictors were identified on multivariate analysis: age, cardiopulmonary disease, malignancy, diabetes, inflammatory bowel disease, acute renal failure, liver disease and ICU admission, with weights ranging from -1 (for diabetes) to 5 (for ICU admission). The overall risk score in the cohort ranged from 0 to 18. Mortality increased significantly as CARDS increased. CDI-associated mortality was 1.2% with a CARDS of 0 compared to 100% with CARDS of 18. The model performed equally well in our validation cohort.

conclusionClostridium difficile associated risk of death score is a promising simple severity score to predict mortality among those hospitalised with C. difficile infection.

Indexed as

Clostridioides difficileHealth Status IndicatorsAdolescentAdultAgedAged, 80 and overAge FactorsClostridium InfectionsComorbidityFemaleHospitalizationHumansInpatientsLogistic ModelsMaleMiddle Aged

Identifiers

PMID26849527
PMCPMC5094350

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.